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Convolutional neural networks with event images for pileup mitigation
The addition of multiple, nearly simultaneous proton proton collisions to hard-scatter collisions (in-time pileup) is a significant challenge for most physics analyses at the LHC. Many techniques have been proposed to mitigate the impact of pileup on jets and other reconstructed objects. This study...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2707228 |